LLM Jobs

Anthropic

Reinforcement learning is crucial for training AI models to reason, write code, and act autonomously. At scale, this process involves a demanding distributed system where training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. This system must continuously exchange data and maintain progress despite hardware failures, shifting loads, and evolving research. The efficiency of this system directly impacts learning outcomes and the speed of research iteration. As a Research Engineer on the Distributed Systems team within RL Engineering, you will focus on the most critical bottlenecks within this system. This could involve areas like scheduling, data movement, sandboxed environment execution, storage, networking, fault tolerance, autoscaling, or observability. The role seeks generalist engineers capable of reasoning from first principles across different system layers and prioritizing impactful problems over familiar ones. The ideal candidate will have experience building and operating large distributed systems, a commitment to detail, and a desire to apply their expertise to a complex, heterogeneous, and rapidly changing workload.

$500k - $850k

Code Intelligence is at the intersection of agentic engineering and product, running agents against real customer source code in production. This role offers the opportunity to lead an AI-native team in a business-critical growth area, providing high visibility and leverage within the fastest-growing segment of the AI agent space. Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while ensuring employees can achieve work-life harmony.

$192k - $240k

Datadog is seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture team. In this role, you will act as a technical multiplier for leading AI labs and AI-native companies, bridging the gap between their infrastructure aspirations and Datadog’s technology roadmap. You will ensure our platform natively solves the unique observability challenges of training and deploying foundational models at scale. We operate as a hybrid workplace to foster collaboration and creativity while ensuring work-life harmony.

$330k - $440k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

Salesforce is seeking a highly accomplished technologist to join their Forward Deployed Engineering Team as an Expert Agent Builder. This role is at the pinnacle of AI technical expertise, focusing on architecting, designing, and building complex agentic systems to solve challenging customer problems. The successful candidate will translate ambiguous customer needs into concrete, executable AI solutions, driving transformative AI solutions by tackling the technical frontier of intelligent automation. This involves building first-of-their-kind, best-in-class experiences for major brands, including headless agent automations, dynamic AI-driven custom user interfaces, and complex multi-agent solutions. The role demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments.

$158k - $288k

Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.

$184k - $357k

Our team builds AI-driven software systems for Circuit Design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation. We are looking for an Applied Machine Learning Engineer to join our integral team in the Circuit Solutions Group. You will work within a multi-functional team on various projects involving pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and Spice correlation. This role involves researching and implementing frontier solutions in electronic design automation and building innovative agentic AI solutions for VLSI design problems. You will be responsible for analyzing problems and datasets, validating hypotheses, and designing and building models and algorithms to achieve desired quality of results.

$116k - $230k

NVIDIA is seeking a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales. In this role, you will set technical direction for communication libraries, model frameworks, and inference/training stacks to ensure state-of-the-art LLM workloads run efficiently and reliably at scale. You will lead deep performance and reliability investigations on multi-GPU and multi-node deployments, define how new platforms are benchmarked and qualified, and build the resilience and failure-attribution capabilities essential for large clusters. This is a hands-on, senior individual-contributor role for an engineer experienced at the intersection of deep learning systems, GPU performance, distributed computing, and large-scale operations.

$184k - $357k

NVIDIA is seeking a dedicated and creative Security Engineer to join our GPU System Software team. In this role, you will be instrumental in developing mitigations, conducting security research, and building advanced security platforms and frameworks to identify vulnerabilities in complex systems software. This is an exceptional opportunity to contribute to the security of foundational technologies in gaming, professional graphics, and cloud computing, as well as AI, data centers, and healthcare. You will be part of an inclusive team focused on maintaining an industry-leading security posture for groundbreaking products.

$152k - $288k

Haven Safety AI is building an enterprise learning intelligence layer for safety, designed to help high-risk organizations learn faster from incidents and prevent future occurrences. The platform integrates with existing EHS systems to enhance incident investigation, assessment, and learning processes. It leverages current incident evidence, company knowledge, historical cases, and an industry knowledge graph, with specialized AI agents analyzing various data points to produce traceable assessments. This role is a build-and-operate position focused on the AI and LLM engineering layer, connecting the evidence base and knowledge graph to the product experiences used by investigators and safety leaders. The work is technically demanding and operationally critical, serving enterprise customers in regulated, safety-critical industries where precision, traceability, evaluation, and human oversight are paramount.

The AI Platform team is building the shared runtime for all AI agents at MeridianLink, encompassing model gateway, orchestration, memory, and observability. This role focuses on the trust and explainability layer of this runtime, developing tracing, evaluation, and explanation capabilities. These features will enable engineers to understand multi-agent workflows and allow product teams to provide customers with appropriate explanations to build trust in agent outputs. This is a hands-on engineering role where you will write code for tracing agent actions, adopt and extend open-source frameworks for explainability and observability, and build primitives for surfacing explanations to end-users. You will work closely with a Staff engineer team lead and architects who will support your growth in this area.

$104k - $178k

The Core ML team is seeking an engineer to bridge the gap between novel machine learning research and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and low-level kernels to implement new algorithmic capabilities, diagnose performance bottlenecks, and transform research prototypes into robust, high-performance demonstrations. Depending on your background, your work may emphasize runtime capabilities such as token orchestration, scheduling, communication, and distributed execution; low-level kernel development for novel ML operations; or a combination of both. This role is crucial for advancing the capabilities of Cerebras' unique AI chip architecture.

Handshake is seeking a Member of Technical Staff to join their AI Engineering team. This role is crucial for building and improving the data systems that power frontier model training. You will be responsible for enhancing how Handshake generates, processes, and prepares complex and sensitive data, including creating high-quality synthetic data and anonymizing acquired data while preserving its value. You will collaborate with researchers, domain experts, legal teams, and customers to transform data-related challenges into experiments, pipelines, and products, influencing the company's technical direction and culture.

$200k - $350k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves owning the end-to-end product on each platform, from API integration and intelligent request routing to inference execution, capacity management, and operations. Engineers on this team are highly leveraged, driving multiple revenue streams while optimizing compute resources. The role requires product-minded backend engineers who can navigate platform differences, design cross-provider services and abstractions, and make architectural decisions for reliability and cost-effectiveness at massive scale. The work directly contributes to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

$320k - $485k

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across major cloud platforms like AWS, GCP, and Azure. Within this team, the model & inference launch team focuses on the validation pipeline for inference servers and load balancers. This critical infrastructure work ensures that every inference change, including new model launches and performance improvements, is deployed with correctness, performance, and reliability. The goal is to make validation fast, cost-effective, and trustworthy, directly impacting how quickly advanced models and features reach users on all cloud platforms and how efficiently compute resources are utilized.

$320k - $485k

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video. This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.

$175k - $300k

Anthropic

The Computer Use team at Anthropic focuses on enabling Claude to interact with computer interfaces and builds the necessary agent harness and end-user products. This team is integral to the research organization, bridging the gap between product development and model capabilities. As a Product Engineer, you will be responsible for the complete lifecycle of our computer-use and browser-control product surfaces, working across the full stack from user interface to agent runtime and backend services. You will collaborate directly with researchers, ensuring a close connection to the model and user experience. This role demands adaptability, a high tolerance for ambiguity, and the ability to prioritize effectively in a fast-paced environment where priorities frequently shift.

$300k - $320k

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. This role's mission is to have the best observability into production post-training runs at Anthropic, providing the clearest, most trusted view of model quality during training. You will shape what gets measured, keep the signal trustworthy and timely, and investigate surprising results to inform post-training and release decisions.

$500k - $850k

Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k